Compatible with every major AI agent and IDE
Count entity nodes on Sanity
Counts the number of documents of a specific type
Create cms document on Sanity
Specify the type and provide attributes as a JSON object. Creates a new document in the CMS
Get document details on Sanity
Retrieves full details for a specific document by ID
List media assets on Sanity
Lists all image and file assets uploaded to Sanity
List typed documents on Sanity
g., "post", "author"). Lists all documents of a specific type
List unique schema types on Sanity
Retrieves a list of all unique document types present in the dataset
Patch cms document on Sanity
Provide a JSON object of fields to set. Updates specific fields of an existing document
Run groq query on Sanity
Executes a GROQ (Graph-Relational Object Queries) query
Run raw mutation on Sanity
Provide a JSON array of mutation objects. Executes a raw Sanity mutation
Wipe cms document on Sanity
This action is irreversible. Permanently deletes a document from the CMS
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can my AI agent write complex GROQ queries for me?
Yes. If you know what data you want but aren't totally familiar with GROQ syntax, you can simply ask your agent: 'Write and execute a GROQ query to find all author documents where the name starts with John and return just their ID and bio.' The agent will draft the query, execute it via the run_groq_query tool, and return the filtered JSON.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
How Chatbots Interact with Sanity
Build automated workflows with Cursor and Claude Code by connecting to the Sanity MCP server.
Streamlining groq queries
The Sanity server exposes documented endpoints for groq queries. This allows ChatGPT and Cursor to interact with developer tools APIs seamlessly.
LLM Orchestration for structured content
Connect Sanity to your AI agents (Claude, ChatGPT, Cursor) to manage structured content operations. The MCP server processes the underlying API requests and schema formatting for the developer tools domain.
Sanity. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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